Refactor prior method to include x and y parameters

Author: heptaflar

uncertaintyx/tyx.py

@@ -150,10 +150,17 @@ def lpu(
         return lpu_p(p.ndim, self.jac(p), u, diag)
 
     @abstractmethod
-    def prior(self, preset: str | None = None) -> np.ndarray:
+    def prior(
+        self,
+        x: np.ndarray | None = None,
+        y: np.ndarray | None = None,
+        preset: str | None = None,
+    ) -> np.ndarray:
         r"""
         Returns a prior estimate of the parameters.
 
+        :param x: Samples :math:`x_{i} \in \mathbb{R}^{N}`.
+        :param y: Samples :math:`y_{i} \in \mathbb{R}`.
         :param preset: The name of a specific parameter preset.
         :returns: The prior estimate :math:`\check{p} \in \mathbb{R}^{k}`.
         """